Medium

The Python Lab

The Python Lab

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4d ago

Building an Autonomous LLM Agent Loop to Fix Python Docstrings and Boost Quality Scores

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In

Python in Plain English

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The Python Lab

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Oct 15

“From Eager to Lazy: How Polars Query Optimization Delivers a 27x Speedup on Multi-Million Row Logs”

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The Python Lab

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Oct 2

“Beyond Buy and Hold: Implementing and Backtesting Mean Reversion vs Trend Following in Pandas”

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The Python Lab

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Sep 20

“Diagnosing Silent Memory Leaks in Chunked Python Data Pipelines”

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The Python Lab

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Sep 14

Multi-Agent Debate for Volatility Breakout Optimization: Can Three Gemini Personas Fix a Losing…

Why I Stopped Trusting Single-Objective Optimizers and Built a Multi-Agent Quant Boardroom

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The Python Lab

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Sep 8

“Breaking the Single-Core Trap: How Polars Delivers a 2.55x Speedup Over Pandas”

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The Python Lab

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Aug 27

Capturing Crypto and Equity Swings: Building a Volatility Breakout and Regime-Switching Backtester…

Architectural blueprint for multi-asset volatility breakouts, dynamic tercile regimes, and drawdown mitigation.

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In

AI Advances

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The Python Lab

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Aug 15

Why Your LLM Agent is Trapped in an Infinite Loop (And How to Fix It)

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The Python Lab

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Jan 27

Predicting Crypto Price Action with Gemini 2.0 and PyTorch LSTMs

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The Python Lab

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Apr 27, 2025

Efficient Crypto Mean Reversion — Vectorized OU Backtesting in Python

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The Python Lab

The Python Lab

Discovering the power of algorithms in Python. Exploring ML, AI, and Deep Learning. Data-driven trading strategies.

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